László Virág

4.7k citations
74 papers · 3.1k · 1 hit paper · h-index 26

Impact in

Papers in

László Virág

73 papers receiving 3.1k citations

László Virág's Hit Papers

Simulation of the Undiseased Human Cardiac Ventricular Action Potential: Model Formulation and Experimental Validation 2011 · 848 citations
8480+5+10Years since publication250500750

Peers

László Virág
Comparison fields: 5 of 113
  • Cardiology and Cardiovascular Medicine 2.7k
  • Cellular and Molecular Neuroscience 735
  • Molecular Biology 2.2k
  • Electrochemistry 186
  • Sensory Systems 38
Replace Bernard Fermini with:
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Citations per field
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Citations per year

Countries citing papers authored by László Virág

Since Specialization
Citations

This map shows the geographic impact of László Virág's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by László Virág with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László Virág more than expected).

Fields of papers citing papers by László Virág

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by László Virág. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by László Virág. The network helps show where László Virág may publish in the future.

Co-authors

The 25 scholars most cited alongside László Virág, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with László Virág Line = papers co-authored together László Virág links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Simulation of the Undiseased Human Cardiac Ventricular Action Potential: Model Formulation and Experimental Validation
Hit paper breakdown →
2011848
2 2005286
3 2019152
4 2020140
5 2002107
6 2001102
7 200194
8 200191
9 201189
10 200586
11 200083
12 200475
13 200775
14 199659
15 200952
16 201350
17 200947
18 201046
19 201142
20 201840

About László Virág

László Virág is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Electrochemistry and Pharmacology, having authored 74 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (70 papers), Ion channel regulation and function (51 papers), Cardiac Arrhythmias and Treatments (13 papers), Neuroscience and Neural Engineering (10 papers), Cardiac pacing and defibrillation studies (10 papers), Electrochemical Analysis and Applications (8 papers), Neuroscience and Neuropharmacology Research (6 papers) and ECG Monitoring and Analysis (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.7k citations), Cellular and Molecular Neuroscience (735 citations), Molecular Biology (2.2k citations), Electrochemistry (186 citations) and Sensory Systems (38 citations). László Virág has collaborated with scholars based in Hungary, United Kingdom and Germany. Frequent co-authors include András Varró, Yoram Rudy, Tom O’Hara, Julius Gy. Papp, Norbert Jost, Péter Biliczki, Norbert Iost, Péter P. Nánási, Csaba Lengyel and Blanca Rodríguez. Their work appears in journals such as British Journal of Pharmacology, Canadian Journal of Physiology and Pharmacology, European Journal of Pharmacology, Current Medicinal Chemistry and Cardiovascular Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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